GIS Intern

Location:

Experience:

Department:

• Create and maintain GIS datasets and geodatabases for agricultural and environmental projects.
• Perform spatial data processing, editing, and management using QGIS and ArcGIS.
• Carry out digitization of agricultural fields, irrigation systems, and other relevant features from satellite imagery and maps.
• Work with Google Earth Engine for processing remote sensing datasets
• Develop and run basic Python scripts for automation, data cleaning, and spatial analysis.
• Assist in the creation of maps, dashboards, and reports for stakeholders.
• Support integration and visualization of multi-source geospatial data for decision-making.
• Perform basic spatial statistics and query operations to derive insights.
• Collaborate with data scientists, agronomists, and remote sensing experts to ensure data accuracy.
  

Required Qualifications

• Basic working knowledge of QGIS, ArcGIS, Erdas Imagine and SNAP
• Understanding of digitization techniques, georeferencing, and spatial data formats.
• Familiarity with Google Earth Engine for raster and vector data analysis.
• Basic Python knowledge, preferably with libraries like geopandas, rasterio, shapely, gdal, or ee.
• Understanding of CRS (Coordinate Reference Systems) and data interoperability.
• Good analytical, problem-solving, and attention-to-detail skills.
• Ability to work both independently and in a collaborative team environment
  

Note: